All Outputs (2)

Can we revitalize interventional healthcare with AI-XR surgical metaverses? (2023)
Conference Proceeding
Qayyum, A., Bilal, M., Hadi, M., Capik, P., Caputo, M., Vohra, H., …Qadir, J. (2023). Can we revitalize interventional healthcare with AI-XR surgical metaverses?. In IEEE International Conference on Metaverse Computing, Networking and Applications (IEEE MetaCom 2023) (496-503). https://doi.org/10.1109/MetaCom57706.2023.00091

Recent advancements in technology, particularly in machine learning (ML), deep learning (DL), and the metaverse, offer great potential for revolutionizing surgical science. The combination of artificial intelligence and extended reality (AI-XR) techn... Read More about Can we revitalize interventional healthcare with AI-XR surgical metaverses?.

Integrating single-shot fast gradient sign method (FGSM) with classical image processing techniques for generating adversarial attacks on deep learning classifiers (2022)
Conference Proceeding
Hassan, M., Younis, S., Rasheed, A., & Bilal, M. (2022). Integrating single-shot fast gradient sign method (FGSM) with classical image processing techniques for generating adversarial attacks on deep learning classifiers. In Proceedings Volume 12084, Fourteenth International Conference on Machine Vision (ICMV 2021). https://doi.org/10.1117/12.2623585

Deep learning architectures have emerged as powerful function approximators in a broad spectrum of complex representation learning tasks, such as, computer vision, natural language processing and collaborative filtering. These architectures bear a hi... Read More about Integrating single-shot fast gradient sign method (FGSM) with classical image processing techniques for generating adversarial attacks on deep learning classifiers.